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BMC Genomics

Open Access

VarI-SIG 2015: methods for personalized medicine – the role of variant interpretation in research and diagnostics

BMC Genomics201617(Suppl 2):425

https://doi.org/10.1186/s12864-016-2721-3

Published: 23 June 2016

Introduction

The growing availability of high-throughput sequencing continues to increase the number of identified genetic variants [1, 2]. For example, the size of the dbSNP database [3] has grown exponentially over the past years to ~150 million human single nucleotide polymorphisms and short genomic variants. Unfortunately, the characterization, annotation, and interpretation of these variants are still lagging. In particular, their implication in disease is one of the major challenges in personalized medicine [48].

The 5th edition of the Variant Interpretation Special Interest Group (VarI-SIG, formerly SNP-SIG) meeting [912] was held on July 11th, 2015 at the joint ISMB/ECCB meeting in Dublin, Ireland. The central VarI-SIG themes were “Annotation and prediction of structural/functional impacts of coding variants” and “Genetic variants as effectors of change: disease and evolution”. Our meeting is organized as a venue for the development of a research network of scientists, necessary for facilitating the exchange of ideas and establishing new collaborations. This year’s meeting attracted over 60 participants, with eight research talks and five presentations from the leading scientists in the field.

Manuscript submission and review

For this year’s VarI-SIG special issue we received eight manuscript submissions. All manuscripts were evaluated by at least two reviewers, selecting from a panel of three editors and 17 other experts in the field (see Acknowledgements). After 2 rounds of review seven manuscripts were accepted for publication. These address a description of a phenotype-dependent variant/gene prioritization method [13], annotation of variants specifically in protein kinases [14] and, generically, in regulatory regions [15], analysis of genetic variants associated with Alzheimer’s Disease [16], identification of the role of protein stability OMIM disease-related variants [17], and the study of mutation profiles in cancer genomes [18, 19].

[The complete program of VarI-SIG meeting 2015 with presentation and poster abstracts is available at http://varisig.biofold.org/2015/docs/vari-sig-2015-programme.pdf]

Further developments

We are working to organize the next VarI-SIG meeting (ISMB 2016; Orlando, Florida; July 9th, 2016). Further information about this coming meeting is available on our website (http://varisig.biofold.org).

Last year, in collaboration with the ISMB organizers, we introduced VarI-COSI (Variant Interpretation Community of Special Interest). VarI-COSI is a community aimed at sharing relevant information, discussing ideas, and providing training and support networks in the field of genomic interpretation. The web portal for VarI-COSI is under development and is accessible via ISCB Connect (http://connect.iscb.org/home). We welcome input and participation from the variation interpretation community.

Declarations

Acknowledgments

We thank Frank Schacherer and BIOBASE International for their financial support. We acknowledge Rachael Sykes and the editorial staff of BioMed Central for their help with releasing this issue. We would like to extend special thanks for all help to the ISMB organizational committee and specifically Steven Leard and Jeremy Hennig.

We also thank the invited speakers: Søren Brunak (University of Copenhagen, Copenhagen, Denmark), Anna Goldenberg (University of Toronto, Toronto, ON), Nuria Lopez-Bigas (University Pompeu Fabra, Barcelona, Spain), Yves Moreau (KU Leuven, Leuven, Belgium) and Joris Veltman (Radboud University, Nijmegen, Netherlands).

Finally, we are very grateful for the patience and help of our colleagues around the world who reviewed the submitted manuscripts. The VarI-SIG 2015 special issue would has not be possible without them:

Domenico Cozzetto (University College London, London UK), Xavier de la Cruz (Vall d'Hebron Institute of Research, Barcelona, Spain), Yves Dehouck, (Université Libre de Bruxelles, Bruxelles, Belgium), Florian Gnad (Genentech, San Francisco, USA), Liang-Tsung Huang (Mingdao University, Changhua, Taiwan), Jae-Yoon Jung (Stanford University, Palo Alto, USA), Soo Heon Kwak (Seoul National University Hospital, Seoul South Korea), Polona Le Quesne Stabej (University College London, London, UK), Anthony Mathelier (University of British Columbia, Vancouver, Canada), Bo Peng (MD Anderson Cancer Center, Houston, USA), David Tamborero (University Pompeu Fabra, Barcelona, Spain), Ali Torkenami (Scripps Institute, San Diego, USA), Hua Wang (Colorado School of Mines, Golden, USA), Federico Zambelli (University of Milan, Milan Italy) and other anonymous reviewers.

Declarations

This supplement has not been supported by sponsorship. This article has been published as part of BMC Genomics Volume 17 Supplement 2, 2016: Proceedings of VarI-SIG 2015: Identification and annotation of genetic variants in the context of structure, function, and disease. The full contents of the supplement are available online at https://bmcgenomics.biomedcentral.com/articles/supplements/volume-17-supplement-2.

Availability of data and material

No data are associated to this manuscript.

Authors’ contributions

YB, EC and HC wrote the manuscript. All the authors read and approved the manuscript.

Competing interests

The authors declare they have no conflict of interests in relation to this VarI-SIG 2015 special issue article.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Department of Biochemistry and Microbiology, Rutgers University
(2)
Department of Genetics, Rutgers University
(3)
Institute for Mathematical Modeling of Biological Systems, Department of Biology, Heinrich Heine University Düsseldorf
(4)
Division of Medical Genetics, Department of Medicine, University of California, San Diego

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Copyright

© Bromberg et al. 2016

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